Detection of asphyxiated infant cry using support vector machine integrated with principal component analysis
Asphyxia refers to respiratory failure in infants, a condition caused by inadequate intake of oxygen. It is important to diagnose asphyxia in infants as early as possible, as it could lead to infant morbidity. PCA has the capability to reduce the dimension of input feature vector to SVM. Previous at...
Published in: | Proceedings of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 |
---|---|
Main Author: | Sahak R.; Lee Y.K.; Mansor W.; Yassin A.I.M.; Zabidi A. |
Format: | Conference paper |
Language: | English |
Published: |
2010
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955460216&doi=10.1109%2fIECBES.2010.5742286&partnerID=40&md5=f2b9bb5415abff19f8e8a9da4a35b19c |
Similar Items
-
Performance of Combined Support Vector Machine and Principal Component Analysis in recognizing infant cry with asphyxia
by: Sahak R.; Mansor W.; Lee Y.K.; Yassin A.I.M.; Zabidi A.
Published: (2010) -
Optimization of principal component analysis and support vector machine for the recognition of infant cry with asphyxia
by: Sahak R.; Mansor W.; Lee K.Y.; Zabidi A.; Yassin A.I.M.
Published: (2013) -
Optimal features for classifying asphyxiated infant cry using support vector machine with RBF kernel
by: Sahak R.; Lee Y.K.; Mansor W.; Yassin A.I.M.; Zabidi A.
Published: (2011) -
Orthogonal least square and optimized support vector machine with polynomial kernel for classifying asphyxiated infant cry
by: Sahak R.; Mansor W.; Lee Y.K.; Zabidi A.; Yassin A.I.M.
Published: (2011) -
Support vector machine performance with optimal parameters identification in recognising asphyxiated infant cry
by: Sahak R.; Mansor W.; Lee K.Y.; Zabidi A.
Published: (2018)